Microsoft Defender for Cloud vs Orca Security
Two of fourteen models named Microsoft Defender for Cloud first on the direct prompt; four named Orca Security. Both were named by all fourteen models and Microsoft Defender for Cloud carries 53 labels and Orca Security 57, so the shares are not directly comparable.
Named in fourteen categories this edition.
Named in eleven categories this edition.
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the cloud-native application protection page.
By framing
Microsoft Defender for CloudFirst choices, of fourteen modelsOrca Security
Across every category in the October 2026 Edition, Microsoft Defender for Cloud and Orca Security were named in the same answer 242 times, of the 598 answers naming Microsoft Defender for Cloud and the 427 naming Orca Security. In those answers Orca Security took the first choice twenty-nine times and Microsoft Defender for Cloud fifty.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | | | | | ||
| GPT-5.4 mini | | | | |||
| Gemini 3.5 Flash | | | | | | |
| Perplexity Sonar | | | | |||
| Grok 4.20 | | | | | | |
| Mistral Small | | | | |||
| DeepSeek V4 Flash | | | | | | |
| Llama 4 Maverick | | |||||
| Qwen 3.7 Flash | | | | | | |
| Kimi K2 | | | | | | |
| GLM 4.7 FlashX | | | | | ||
| MiniMax M2.5 | | | | | ||
| GPT-6 Luna | | | | |||
| Muse Glimmer 30B | | | | | |
Microsoft Defender for Cloud Orca Security first choice named as an alternative argued againstblank: not namedEach cell is one answer, Microsoft Defender for Cloud on the left and Orca Security on the right.The direct prompt
Both were the first choice
1 of 14 modelsThe answer named them together, and the judge labeled each a first choice.Microsoft Defender for Cloud first, Orca Security not the choice
1 of 14 modelsOrca Security was named in the answer but not as the choice, or not at all.Orca Security first, Microsoft Defender for Cloud not the choice
3 of 14 modelsMicrosoft Defender for Cloud was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
7 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
2 of 14 modelsThe answer made no first choice from these two in this category.Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.
By buyer segment
Microsoft Defender for Cloud28%#2 of 12Orca Security16%#3 of 12Microsoft Defender for Cloud21%#2 of 11Orca Security19%#3 of 11Microsoft Defender for Cloud17%#2 of 11Orca Security7%#4 of 11What the models said about Microsoft Defender for Cloud
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. One of one in this category shown.
“The Trap: Relying exclusively on AWS Security Hub or Microsoft Defender for Cloud... Vendor Lock-in.” Qwen 3.7 Flash · negative prompt · hard negative
What the models said about Orca Security
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“Avoid enterprise vendors (Wiz, Orca, Prisma Cloud) initially” Kimi K2 · budget prompt · hard negative
“Median contract is ~$95K/year; no free tier, quote-only pricing” DeepSeek V4 Flash · budget prompt · hard negative
“The Best Overall Fit: Orca Security ... widely considered the most practical and efficient choice for mid-market B2B organizations.” Gemini 3.5 Flash · direct prompt · first choice
“Orca Security has been more flexible than Wiz on pricing for mid-market organizations (under 2,000 cloud resources)” Muse Glimmer 30B · direct prompt · first choice
Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.